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weighed against pragmatic considerations In light of the data we have presented, we must question whether it is worth the time and bother to create multiple parallel measures using a variety of different response formats In our view, a much quicker and easier approach is to create multiple indicators of each construct within a single rating method (eg, unipolar Likert rating scales) Moreover, brief validity scales can be created within this same format to allow one to model systematic response biases such as acquiescence An excellent example of this approach is reported by Tellegen et al (1999), who constructed brief measures of Pleasantness, Unpleasantness, and acquiescence that were embedded within a single response format Using this single-format approach, Tellegen et al (1999) obtained a corrected latent correlation of 92 between Pleasantness and Unpleasantness, a value that exceeds most of those shown in Tables 144 and 145.



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The main aim is to certify the process by monitoring the deviation from a speci cation Another scenario includes modeling at the design and process planning stage the inference between certain measurable process variables and a certain target value (product quality, for example) is of great importance (Macias et al, 2003) A crucial weakness of model-based approaches for design of inferential sensors is that signi cant efforts must be made based on batch sets of data to develop and maintain these models/sensors of ine Even minor process changes outside the conditions used for of ine model development can lead to performance deterioration of the model-based (including advanced NN-based and statistical) inferential sensors, which require maintenance and recalibration..

After studying this chapter, the reader should be able to 1 Explain the differences between creditors, owners, and managers in what they look for in financial statements.





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The rm belief of the editors is that although this book is merely a step in the direction of development of this new eld, yet it provides readers with a solid background of methodological and applied knowledge and fresh ideas that are needed for innovation and progress. Lancaster, UK Detroit, Michigan, USA Auckland, New Zealand February 2010

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Raju, N S, & Burke, M J (1983) Two procedures for studying validity generalization Journal of Applied Psychology, 68, 382 395 Rosenthal, R (1991) Meta-analytic procedures for social research (2nd ed) Newbury Park, CA: Sage Rosenthal, R, & Rubin, D B (1982) Comparing effect sizes of independent studies Psychological Bulletin, 92, 500 504 Rozeboom, W W (1960) The fallacy of the null hypothesis significance test Psychological Bulletin, 57, 416 428 Schmidt, F L (1988) Validity generalization and the future of criterion-related validity In H Wainer & H I Braun (Eds), Test validity (pp 173 292) Hillsdale, NJ: Erlbaum Schmidt, F L (1992) What do data really mean Research ndings, meta-analysis, and cumulative knowledge in psychology American Psychologist, 47, 1173 1181 Schmidt, F L (1996) Statistical signi cance testing and cumulative knowledge in psychology: Implications for the training of researchers Psychological Methods, 1, 115 129 Schmidt, F.

We strongly advocate this method as a simple, quick, and effective alternative to the multiformat strategy The Problem of Social Desirability We conclude our discussion of measurement error by considering the problem of social desirability, another potential source of systematic bias in mood ratings Psychologists long have been concerned that people might have only limited insight into their thoughts, motives, and feelings; furthermore, it has been argued that self-raters may respond defensively and that they may consciously or unconsciously distort their responses in a socially desirable manner (Edwards & Edwards, 1992; Paulhus & Reid, 1991) This would seem to be a particularly serious problem in mood measurement, which typically involves asking participants to respond to face-valid items whose content is completely undisguised One way to investigate this issue is to compare overall mean scores on affect self-ratings with the corresponding judgments made by well-acquainted peers.

an adversary s malicious attacks Generally speaking, an intrusion can be defined as an act of a person or proxy attempting to break into or misuse your system in violation of an established policy Very little research work dealing with the intrusion problem has been done for wireless networks In this section, we shall describe the intrusion problem in general We hope that researchers will pick up what has been done in related areas, and find efficient approaches on how to deal with this problem in an ad hoc network environment 1441 Current IDS Techniques Generally speaking, intrusion can be classified as: (i) misuse intrusions, ie, well-defined attacks against known system vulnerabilities; and (ii) anomaly intrusions, ie, activities based on deviation from normal system usage patterns Intrusion detection systems (IDS) are one of the latest security tools in the battle against these attacks.

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